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A fused mixed-methods approach to thematic analysis of personal networks: Two case studies of caregiver support networks
Network Science Pub Date : 2021-05-04 , DOI: 10.1017/nws.2021.4
Reza Yousefi Nooraie , Bronwyn Thompson , Chelsea D’Silva , Ian Zenlea , Maryam Tabatabaee , Ardavan Mohammad Aghaei

Thematic analysis of personal networks involves identifying regularities in network structure and content, and grouping networks into types/clusters, to allow for a holistic understanding of social complexities. We propose an inductive approach to network thematic analysis, applying the learnings from qualitative coding, fused mixed-methods analysis, and typology development. It involves framing (changing focus by magnifying, aggregating, and graphical configuration), pattern detection (identification of underlying dimensions, sorting, and clustering), labeling, and triangulating (confirmation and fine-tuning using quantitative and qualitative approaches); applied repeatedly and emergently. We describe this approach utilized in two cases of studying support networks of caregivers.

中文翻译:

个人网络主题分析的融合混合方法方法:照顾者支持网络的两个案例研究

个人网络的主题分析涉及识别网络结构和内容的规律性,并将网络分组为类型/集群,以便全面了解社会复杂性。我们提出了一种网络主题分析的归纳方法,应用从定性编码、融合混合方法分析和类型学开发中学到的知识。它涉及框架(通过放大、聚合和图形配置来改变焦点)、模式检测(识别底层维度、排序和聚类)、标记和三角测量(使用定量和定性方法进行确认和微调);反复和紧急应用。我们描述了在研究照顾者支持网络的两个案例中使用的这种方法。
更新日期:2021-05-04
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